scholarly journals Digitalization as a tool for solving control problems

2021 ◽  
Vol 330 ◽  
pp. 03004
Author(s):  
Leonid Myshlyaev ◽  
Konstantin Venger ◽  
Vitaliy Grachev ◽  
Konstantin Ivushkin
Keyword(s):  
Mathematical Modeling ◽  
Similarity Theory ◽  
Control Problems ◽  
Digital Models ◽  
Digital Twins ◽  
Model Approach

The article is devoted to the consideration of “digitalization” concept as a tool for solving control problems. The problems of digital twins formation are discussed and two directions for digital models creation are presented. The necessity of using a natural-model approach, methods of natural-mathematical modeling, similarity theory for building digital models is noted.

Use of Digital Twins for Mathematical Modeling of Ultrasonic Cutting of Titanium Blanks

2021 ◽  
Vol 1037 ◽  
pp. 369-376
Author(s):  
Maxim Ilyushkin ◽  
Kirill Savelev ◽  
Oleg Krupennikov ◽  
Evgeniy S. Kiselev
Keyword(s):  
Mathematical Modeling ◽  
Thermal Power ◽  
Experimental Studies ◽  
Ultrasonic Field ◽  
Design Parameters ◽  
Digital Twins ◽  
Machine Parts ◽  
Cutting Processes ◽  
Stock Removal ◽  
Processing Zone

The paper presents the results of numerical experimental studies of cutting titanium blanks using mathematical modeling programs, which make it possible to completely repeat technological processes in a computer (digital twin). The LS-DYNA product was used as a program to simulate the process of stock removal from titanium blank. It has been established that the use of this method adequately describes the cutting processes, including with the introduction of the energy of an ultrasonic field into the processing zone, can significantly reduce the duration of experimental research and evaluate the influence of the elements of the cutting mode and design parameters of the tool on the thermal power aspects of the formation of new surfaces of machine parts.

scholarly journals Algebraic modeling in international and local service logistical systems

2020 ◽  
pp. 088-097
Author(s):  
O.O. Letychevskyi ◽  
◽  
S.O. Gorbatuk ◽  
V.A. Gorbatuk ◽  
◽  
...  
Keyword(s):  
Mathematical Modeling ◽  
Software Systems ◽  
Algebraic Models ◽  
Modern Life ◽  
Local Service ◽  
Logistics Systems ◽  
External Threats ◽  
Control Optimization ◽  
Security Properties ◽  
Model Approach

International and internal service logistics are advancing at a tremendous pace in our modern life, and future forecasts for this area are optimistic. For this reason, we face a task in the control, optimization and safety and security checking of complex logistical systems with many internal agents working in a changing environment. Our paper aims to show how mathematical modeling, especially behavior algebra, can provide an opportunity for predicting the behavior and stability of logistics environments and checking their safety and security properties. The main security properties of complex logistics systems of different capacities and levels are stability of operation, resistance to external threats and detection and elimination of vulnerabilities. During the development of software systems, it is advisable to use a model approach. It involves the creation of models as tools at every stage of software development for the application of verification, testing and validation methods. Algebraic models of logistics systems can be used to analyze the behavior of all agents involved and to prove their ability to fulfill their goals and the ability of the whole system to constantly exist and remain stable. As examples of practical use the application in practice of algebra of behaviors on an example of the operating closed logistic system of a farm is considered.

scholarly journals FORCES PERFORMANCE OF TRAWL SYSTEM – II: PHYSICAL MODELING

2021 ◽  
Vol 2021 (3) ◽  
pp. 86-93
Author(s):  
Alexander Alekseevich Nedostup ◽  
Alexey Olegovich Razhev
Keyword(s):  
Neural Network ◽  
Mathematical Modeling ◽  
Predictive Modeling ◽  
Similarity Theory ◽  
Time Derivative ◽  
Complex Nature ◽  
Combining Data ◽  
Conducting Research ◽  
Self Learning ◽  
Physical Quantities

The article is a continuation of scientific research and justification of the possibility of artificial intelligence technologies for the tasks of predictive modeling of the behavior of a trawl system in the process of fishing on a self-learning neural network. The definition of the productivity of forces is introduced - the second time derivative of the work of these forces. The intermediate result of the design of the trawl system is a project - an integrated set of characteristics described in a form suitable for its operation with a given performance of forces. To proceed to predictive modeling, it is necessary to determine the extent of similarity of the trawl system in different areas of its interaction. There is inter-discipline, which is manifested in the formulation of problems, in ap-proaches to their solution, in revealing the connections between theories, in the formation of new disciplines. Interdisciplinarity allows conducting research with the trawl system in its entirety, combining data from various disciplines (hydromechanics, electrodynamics, thermodynamics, acoustics, optics, etc.), leading to the emergence of new postulates and laws that synthesize the sci-entific knowledge necessary for a self-learning neural network of fishing for the trawl system. To combine the knowledge there was chosen the similarity theory as a mathematical modeling method based on the transition from ordinary physical quantities that affect the system being modeled to generalized complex-type quantities composed of original physical quantities, but in certain combinations, depending - from the specific nature of the process under study. The complex nature of these quantities has a deep physical meaning of reflecting the interaction of various influences. The similarity theory studies the methods of constructing and applying these variables and is used in cases of mathematical modeling when an analytical solution of mathematical modeling problems is impossible due to complexity and accuracy requirements. The similarity theory is used in these cases to synthesize relations obtained on the basis of the physical mechanism of the process under study and data of a numerical solution or experiment.

scholarly journals Application of internal point methods in cybersecurity problems of intelligent energy systems

2021 ◽  
Vol 46 (2) ◽  
Author(s):  
V. V. Samandrula ◽  
◽  
M. M. Lutsenko
Keyword(s):  
Mathematical Modeling ◽  
Measurement Data ◽  
Energy Systems ◽  
Energy System ◽  
Monitoring Systems ◽  
Control Problems ◽  
Internal Point ◽  
Dos Attacks ◽  
Cyber Defense ◽  
Internal States

The paper considers approaches to the creation of intelligent energy systems based on WAMS monitoring systems, using information technology in metrology, in the means of receiving, processing and transmitting information and determining parameters in control tasks. The paper analyzes the existing cyberattacks on the SCADA and WAMS system and considers possible ways to solve control problems in terms of information security violations of intelligent energy systems. DoS-attacks are considered in more detail, which lead to the failure of devices that measure currents, voltages and capacities, as well as to the disruption of information processing equipment. The paper proposes an algorithm for estimating the state of cyber defense of the intelligent energy system based on mathematical modeling of the internal states of the system, which allows to obtain the required accuracy of calculations in terms of incomplete information, which is the inability to access measurement data.

Safety analysis and risk identification for a tubular reactor using the HAZOP methodology

2006 ◽  
Vol 60 (6) ◽  
Author(s):  
J. Labovský ◽  
L’. Jelemenský ◽  
J. Markoš
Keyword(s):  
Mathematical Modeling ◽  
Steady State ◽  
Ethylene Oxide ◽  
Tubular Reactor ◽  
Computer Code ◽  
Risk Identification ◽  
Process Unit ◽  
Steady State Analysis ◽  
Process Simulator ◽  
Model Approach

AbstractA model approach to Hazard and Operability (HAZOP) analysis is presented based on the mathematical modeling of a process unit where both the steady-state analysis, including the analysis of the steady states multiplicity and stability, and the dynamic simulation are used. Heterogeneous tubular reactor for the ethylene oxide production from ethylene and oxygen was chosen to identify potential hazards for real system. The computer code DYNHAZ was developed consisting of a process simulator and a generator of the HAZOP algorithm.

scholarly journals A Five-Step Approach to Planning Data-Driven Digital Twins for Discrete Manufacturing Systems

2021 ◽  
Vol 11 (8) ◽  
pp. 3639
Author(s):  
Matevz Resman ◽  
Jernej Protner ◽  
Marko Simic ◽  
Niko Herakovic
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Multiple Scales ◽  
Building Blocks ◽  
Heterogeneous Data ◽  
Digital Model ◽  
Data Driven ◽  
Digital Models ◽  
Digital Twin ◽  
Digital Twins

A digital twin of a manufacturing system is a digital copy of the physical manufacturing system that consists of various digital models at multiple scales and levels. Digital twins that communicate with their physical counterparts throughout their lifecycle are the basis for data-driven factories. The problem with developing digital models that form the digital twin is that they operate with large amounts of heterogeneous data. Since the models represent simplifications of the physical world, managing the heterogeneous data and linking the data with the digital twin represent a challenge. The paper proposes a five-step approach to planning data-driven digital twins of manufacturing systems and their processes. The approach guides the user from breaking down the system and the underlying building blocks of the processes into four groups. The development of a digital model includes predefined necessary parameters that allow a digital model connecting with a real manufacturing system. The connection enables the control of the real manufacturing system and allows the creation of the digital twin. Presentation and visualization of a system functioning based on the digital twin for different participants is presented in the last step. The suitability of the approach for the industrial environment is illustrated using the case study of planning the digital twin for material logistics of the manufacturing system.

Sign in / Sign up

Export Citation Format

Share Document